Cookieless delivery of personalizied content

Abstract

A computer-implemented method of providing targeted content to a user includes generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment. The method further includes constructing the browser-executable library including the query index, where the browser-executable library is configured to execute within a local machine browser of the user, and transmitting the browser-executable library to the local machine browser of the user, wherein the browser-executable library is configured to determine that a query of the plurality of market segment-based queries matches user-specific data only stored in the local machine browser of the user, where the query matching the user-specific data stored in the local machine browser of the user is configured to cause the local machine browser to request the targeted content corresponding to the user-specific data.

The invention claimed is: 
     
       1. A computer-implemented method comprising:
 generating, on a locally-executing user application of a user who is determined to be within a market segment topic, a query model from a data corpus, the query model including a plurality of market segment topic-based queries, wherein each market segment topic-based query of the plurality of queries matches targeted content within the application; 
 wherein the query model is configured to determine that a query of the plurality of market segment topic-based queries matches user-specific data using only data stored in the local machine application of the user, 
 wherein the query matching the user-specific data stored in the local machine application of the user is configured to cause the local machine application of the user to indicate a matched market segment topic. 
 
     
     
       2. The computer-implemented method of  claim 1 , wherein the user-specific data stored in the local machine application comprises user application history data stored in a privacy sandbox of an application data repository, wherein the user application history data indicates a behavior of the user interacting with the local machine application. 
     
     
       3. The computer-implemented method of  claim 1 , wherein the user-specific data stored in the local machine application comprises user-specific attribute data. 
     
     
       4. The computer-implemented method of  claim 1 , wherein the requested and received targeted content contains user-specific personalized content. 
     
     
       5. The computer-implemented method of  claim 1 , wherein the requested and received targeted content contains user-specific content. 
     
     
       6. The computer-implemented method of  claim 1 , further comprising replying to a request to provide an updated query model from the local machine application. 
     
     
       7. The computer-implemented method of  claim 1 , wherein the application-executable library is configured to cause the local machine application to locally process at least one query from the query model against locally stored at least one of user attribute data and historical user application activity. 
     
     
       8. The computer-implemented method of  claim 7 , wherein the at least one query from the query model is configured to provide instructions to the application-executable library, the instructions configured to collect at least one of the user attribute data and the historical user application activity. 
     
     
       9. The computer-implemented method of  claim 1 , where the query model comprises a prioritized decision tree graph query model. 
     
     
       10. The computer-implemented method of  claim 1 , further comprising generating a browser application executable library comprising the query index model, the browser application executable library configured to execute within a local machine browser application of the user. 
     
     
       11. A computer-implemented system comprising:
 a non-transient, tangible memory configured to store computer-executable instructions; and 
 a processor implemented with physical computing resources configured to retrieve the stored computer-executable instructions and execute the computer-executable instructions on the processor, the computer-executable instructions configured to:
 generate a query model from a data corpus, the query model including a plurality of market segment topic-based queries, wherein each market segment topic-based query of the plurality of queries is configured to provide targeted content on an application user interface of a user determined to be within a corresponding market segment topic; 
 construct an application-executable library comprising the query model, the application-executable library configured to execute within a local machine application of a user; and 
 provide the application-executable library to the local machine application of the user, 
 
 wherein the application-executable library is configured to determine a query of the plurality of market segment topic-based queries matching user-specific data using only data stored in the local machine application of the user, 
 wherein the query matching the user-specific data stored in the local machine application of the user causes the local machine application of the user to indicate a matched market segment topic. 
 
     
     
       12. The computer-implemented system of  claim 11 , wherein the user-specific data stored in the local machine application comprises user application history data stored in a privacy sandbox of an application data repository, wherein the user application history data indicates a behavior of the user interacting with the local machine application. 
     
     
       13. The computer-implemented system of  claim 11 , wherein the user-specific data stored in the local machine application comprises user-specific attribute data. 
     
     
       14. The computer-implemented system of  claim 11 , wherein the requested and received targeted content contains user-specific personalized content. 
     
     
       15. The computer-implemented system of  claim 11 , wherein the requested and received targeted content contains user-specific content. 
     
     
       16. The computer-implemented system of  claim 11 , further comprising replying to a request to provide an updated query model from the local machine application. 
     
     
       17. The computer-implemented system of  claim 11 , wherein the application-executable library is configured to cause the local machine application to locally process at least one query from the query model against locally stored at least one of user attribute data and historical user application activity. 
     
     
       18. The computer-implemented system of  claim 17 , wherein the at least one query from the query model is configured to provide instructions to the application-executable library, the instructions configured to collect at least one of the user attribute data and the historical user application activity. 
     
     
       19. The computer-implemented system of  claim 11 , where the query model comprises a prioritized decision tree graph query model. 
     
     
       20. The computer-implemented system of  claim 11 , wherein the application executable script library is configured to be associated with a Uniform Resource Locator (URL). 
     
     
       21. The computer-implemented system of  claim 11 , wherein constructing the application-executable library comprising the query model further comprises compiling the query model into the application-executable library.